SYSTEMS AND METHODS FOR VISUALIZING A PATTERN IN A DATASET

    公开(公告)号:US20180225416A1

    公开(公告)日:2018-08-09

    申请号:US15891607

    申请日:2018-02-08

    CPC classification number: G16B45/00 G16B25/00 G16B40/00

    Abstract: A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity in a plurality of first entities for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters. Differences in the discrete attribute values for the first entity across the second entities of a given cluster relative to the discrete attribute value for the same first entity across the other clusters are computed thereby deriving differential values. A heat map of these differential values for each first entity for each cluster is displayed to reveal the pattern in the dataset.

    Systems and methods for visualization of single-cell resolution characteristics

    公开(公告)号:US12062418B2

    公开(公告)日:2024-08-13

    申请号:US18165133

    申请日:2023-02-06

    CPC classification number: G16B45/00 C12Q1/68 G16B20/40

    Abstract: A dataset is obtained comprising data blocks, each representing a different characteristic, for a plurality of cells across a plurality of bins, each bin representing a different portion of a reference sequence. Cells are clustered on one such characteristic across the bins thereby forming a tree that includes root, intermediate, and terminal nodes, where the cells are terminal nodes and intermediate nodes have daughter nodes, themselves being intermediate nodes or a cell. A subset of the tree is displayed that includes the root and leaves, each leaf representing an intermediate node or a cell. A heat map of the characteristic is also displayed, the map including a segment for each leaf, across the bins. When a segment represents an intermediate node, it is an average of the characteristic across daughters of the node. Graphs of characteristics for the root across the bins are also displayed.

    SYSTEMS AND METHODS FOR VISUALIZATION OF SINGLE-CELL RESOLUTION CHARACTERISTICS

    公开(公告)号:US20200005902A1

    公开(公告)日:2020-01-02

    申请号:US16454485

    申请日:2019-06-27

    Abstract: A dataset is obtained comprising data blocks, each representing a different characteristic, for a plurality of cells across a plurality of bins, each bin representing a different portion of a reference sequence. Cells are clustered on one such characteristic across the bins thereby forming a tree that includes root, intermediate, and terminal nodes, where the cells are terminal nodes and intermediate nodes have daughter nodes, themselves being intermediate nodes or a cell. A subset of the tree is displayed that includes the root and leaves, each leaf representing an intermediate node or a cell. A heat map of the characteristic is also displayed, the map including a segment for each leaf, across the bins. When a segment represents an intermediate node, it is an average of the characteristic across daughters of the node. Graphs of characteristics for the root across the bins are also displayed.

    SYSTEMS AND METHODS FOR VISUALIZATION OF SINGLE-CELL RESOLUTION CHARACTERISTICS

    公开(公告)号:US20230368869A1

    公开(公告)日:2023-11-16

    申请号:US18165133

    申请日:2023-02-06

    CPC classification number: G16B45/00 C12Q1/68 G16B20/40

    Abstract: A dataset is obtained comprising data blocks, each representing a different characteristic, for a plurality of cells across a plurality of bins, each bin representing a different portion of a reference sequence. Cells are clustered on one such characteristic across the bins thereby forming a tree that includes root, intermediate, and terminal nodes, where the cells are terminal nodes and intermediate nodes have daughter nodes, themselves being intermediate nodes or a cell. A subset of the tree is displayed that includes the root and leaves, each leaf representing an intermediate node or a cell. A heat map of the characteristic is also displayed, the map including a segment for each leaf, across the bins. When a segment represents an intermediate node, it is an average of the characteristic across daughters of the node. Graphs of characteristics for the root across the bins are also displayed.

    SYSTEMS AND METHODS FOR VISUALIZATION OF SINGLE-CELL RESOLUTION CHARACTERISTICS

    公开(公告)号:US20240347137A1

    公开(公告)日:2024-10-17

    申请号:US18752522

    申请日:2024-06-24

    CPC classification number: G16B45/00 C12Q1/68 G16B20/40

    Abstract: A visualization system comprising processing cores, memory, and a display performs a visualization method by obtaining a block of data. The data represents a single-cell characteristic of cells in a plurality of cells across each bin in a plurality of bins. Each bin maps to a different portion of a reference genome. The cells are clustered based upon the single-cell characteristic across the plurality of bins, thereby forming a tree structure that includes a current root node, a plurality of intermediate nodes, and the plurality of cells. Th plurality of cells constitute terminal nodes in the tree structure and each respective intermediate node has a corresponding plurality of daughter nodes, each daughter node being an intermediate node or a cell. The single-cell characteristic is plotted for the current root node of the tree on the screen using the dataset, across all or the portion of the plurality of bins.

    Systems and methods for visualizing a pattern in a dataset

    公开(公告)号:US10347365B2

    公开(公告)日:2019-07-09

    申请号:US15891607

    申请日:2018-02-08

    Abstract: A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity in a plurality of first entities for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters. Differences in the discrete attribute values for the first entity across the second entities of a given cluster relative to the discrete attribute value for the same first entity across the other clusters are computed thereby deriving differential values. A heat map of these differential values for each first entity for each cluster is displayed to reveal the pattern in the dataset.

    METHODS FOR CLONOTYPE SCREENING
    9.
    发明申请

    公开(公告)号:US20180371545A1

    公开(公告)日:2018-12-27

    申请号:US15984324

    申请日:2018-05-19

    Abstract: Methods for screening clonotypes are provided. Data representing a plurality of cells from a single subject is obtained. The data represents a plurality of clonotypes. The data includes a plurality of contigs for each respective clonotype in the plurality of clonotypes. Each respective contig in the plurality of contigs comprises (i) an indication of chain type for the respective contig and (ii) a contig sequence of an mRNA of the respective cell. There is determined, using the data, for each respective clonotype in the plurality of clonotypes, a number of the plurality of cells that represent the respective clonotype. In some instances, more than one cell in the plurality of cells have the same clonotype in the plurality of clonotypes. In some instances, the plurality of clonotypes comprises 25 clonotypes and where the plurality of cells includes at least one cell for each clonotype in the plurality of clonotypes.

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